Lucas and Luna dive into the hidden failure of test coverage metrics. They unpack why hitting 90% line coverage can still let critical bugs slip into production, using a real example from a mid-size fintech company that shipped a payment-calculation error despite excellent coverage. The hosts explain the distinction between coverage as a vanity metric and coverage as a meaningful risk signal, discuss mutation testing as a diagnostic tool, and offer a practical framework for engineering teams to audit their own test suites. Along the way, they touch on the psychology of how developers game coverage targets and why low-coverage code paths sometimes matter more. A focused, actionable episode for QA engineers, engineering managers, and anyone who has ever wondered why their green test suite turned red in production.

#TestCoverage #MutationTesting #QA #SoftwareTesting #FintechBugs #CoverageMetrics #EngineeringCulture #RiskBasedTesting #CodeQuality #ProductionBugs #TestStrategy #DevEx #Technology #FexingoBusiness #BusinessPodcast #QAStrategy #TechLeadership #ContinuousTesting

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